Triple
T20360163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feste |
E496753
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Olivia |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Olivia | Statement: [Feste, associatedWith, Olivia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Context triple: [Feste, associatedWith, Olivia]
-
A.
Olivia
Olivia is a musical artist known for her featured performance on the track "Broken Silence."
-
B.
Olivia
Olivia is a key supporting character in Minecraft: Story Mode, known as a smart, cautious engineer and Redstone expert who helps the protagonist on their adventures.
-
C.
Olivia
Olivia is a central character in Ruth Prawer Jhabvala’s novel "Heat and Dust," whose life and choices in colonial India drive much of the story’s exploration of desire, cultural conflict, and transgression.
-
D.
Olivia
Olivia is a character in the 2023 revival of the sitcom "Night Court," contributing to the show's updated ensemble of quirky courthouse personalities.
-
E.
Olivia
chosen
Olivia is a wealthy and noble countess in Shakespeare's comedy "Twelfth Night," central to the play's romantic entanglements and mistaken identities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678584294819093788ccf2fb8e588 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.